Research Of Web Services Discovery And Matchmaking Based On Semantic

Web service resolved the problem of intercommunication and interoperability within the business enterprise and heterogeneous system in the internal business enterprise by the root. However the traditional Web Services discovery method is Web Services matchmaking which is based on the UDDI framework, because UDDI can only offer the query based on keyword, and UDDI use XML to describe its data structure, is lack of support for semantic information, so the Web Services matchmaking is based on the keyword and syntax matchmaking, can't implement Web Services functionality-based matchmaking, and then cause the low precision. On the other hand, WSDL language is a syntax level language, offer the Web Services physical information, and lack of the semantic description of Web Services functionality information. Again, the traditional Web Services discovery technology is lack of the ability of extracting and processing of the useful information, can't effectively describe the Web Services capability from the Services request, go against locate the best Web Services.To resolve low precision in Web Services discovery, the research community brings semantics to Web Services. Semantic Web Services have their semantic descriptions and thus make it possible for services to know the content, function and attributes of each other.To resolve low precision in Web Services discovery, the research community brings semantics to Web Services. Semantic Web Services have their semantic descriptions and thus make it possible for services to know the content, function and attributes of each other. The main research works I do are as follows:1,the knowledge about web service, current matching technolgy and semantic web will be introduced allsided, including the latest progress.2,This paper design a Semantic-Based Web Services Discovery Model, the model includes the QueryProcesser,OWL-S/UDDIConverter,Semantic Web Services Matchmaker. 1) The QueryProcesser supply the user interface for users to prescribe the query condition, and change the Services request to normative request profile according to OWL-S Profile. 2) OWL-S/UDDI Converter establishes the mapping between the OWL-S Profile and UDDI to enlarge the UDDI so as to support the semantic information. 3) Using the semantic information in service ontology and domain ontology, realize the service matching at semantic level.3,Semantic Web Services Matchmaker uses the hierarchical match algorithm,the first stage is ServiceCategory Matching, it is used to filter the Web Services whose ServiceCategory'value doesn't equal to the requested Service Profile's.The second stage matching is Web Services functionality based semantic matching, the Web Services functionality-based semantic matching is implemented by calling InputParameterMatching and OutputParameterMatching, this algorithm define a semantic similarity degree to measure the match degree as a float number, and consequently distinguish the difference between the Web Services' match degree.